Instructions to use pedropei/question-intimacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedropei/question-intimacy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedropei/question-intimacy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedropei/question-intimacy") model = AutoModelForSequenceClassification.from_pretrained("pedropei/question-intimacy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"max_len": 512, "num_labels": 1, "output_attentions": false, "output_hidden_states": false, "bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>", "special_tokens_map_file": "./saved_model/special_tokens_map.json", "full_tokenizer_file": null} |